2019/09/16 by Jérôme G. M. Benoit, Benoit, Jerome, Saif Eddin Jabari +1
Computer Science · Engineering · #Adaptation and Self-Organizing Systems (nlin.AO) #Cellular Automata and Applications #Data Visualization and Analytics #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistical Mechanics (cond-mat.stat-mech) #Urban Design and Spatial Analysis
paper · pdf · doi:10.48550/arxiv.1909.08082
openalex publication_date 2019/09/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The complexity of urban street networks is well accepted to reside in the information space where roads map to nodes and junctions to links between nodes. Assuming that information networks preserve their amount of surprisal on average leads us to adapt the single-flip Metropolis algorithm to compute information networks with minimal amounts of surprisal.